45 applicants

Company

Analytica · 16 hours ago

Solutions Architect

United States

Full-time

Remote

Senior Level, Lead/Staff

8+ years exp

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AnalyticsBig Data

No H1B

Security Clearance Required

Hiring Manager

Sasha Valdez

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Responsibilities

Lead architectural design and technical planning, including roadmap development and implementation of modern techniques and technologies such as Cloud (AWS), Software Defined Networking (SDN), AIOps, AI/ML, Elasticsearch, and Kafka

Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements

Develop and maintain complex solution architectures and design documentation, ensure alignment with strategic objectives and program goals, integrate new technologies into architectures, and evaluate tools for high-quality delivery

Maintain a forward-looking perspective on industry trends and emerging technologies

Support innovation planning, analytical research, architecture, and design development across the innovations portfolio, and analyze government customer requirements to develop system requirements specifications

Perform data gathering, requirements definition and analysis, use case development, gap analysis, dependency analysis and management, develop functional and design specifications, and provide measurable input to new solutions, processes, or standards to achieve functional/project objectives

Engage with clients and use a variety of information gathering techniques (e.g., interviews, facilitation, diagrams) to gather complex business data requirements from Business teams

Analyze requirements in relation to available data, assesses source system data quality, and analyze schemas to meet performance requirements

Design and maintain a master data management strategy that accounts for all aspects of data management including data ownership, security, and data administration

Oversee database administration and engineering to align to a data-as a service approach

Ensure high quality data deliverable artifacts are provided, which may include documentation to include formal process mapping, glossaries, data dictionary, functional and non-functional requirement specifications, technical design, key performance indicators, system testing and implementation activities

Support the proposal response process, from participating in solutioning to proposal writing, code challenges, reviewing and development as needed

Qualification

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Cloud (AWS)Data architectureData engineeringMachine learningAgile project managementSoftware Defined Networking (SDN)AIOpsElasticsearchKafkaUI/UX designCI/CD pipelinesDistributed systemsMicroservices architectureJIRAConfluenceProgramming languagesData governanceData quality assessmentPublic trust security clearanceAWS Certification

Required

Bachelor’s degree in Computer Science, Engineering, Science, or related field.

8+ years of experience developing enterprise data warehouse/lake solutions.

5 years experience and understanding of and experience with SDLC methodology and Agile project management, and working with the Federal Government.

Experience leading strategy development, architecture creation, design, development, and delivery of data driven capabilities, within the IRS environment.

Experience with data architectures and pipelines for structured, unstructured, and semi-structured data across various data repositories and data lakes.

Possesses broad knowledge across the entire analytics lifecycle, particularly around data engineering, databases, governance and end-user workflows (e.g. analytics and data science), including advanced knowledge of products and services that are fueling data driven decision making and how they can be leveraged to support cross-functional workflows.

Experience with front-end technologies, UI/UX design, and Agile DevSecOps tools, and CI/CD pipelines.

Proficiency in multiple programming languages, cloud computing, distributed systems, and microservices architecture.

Strong understanding of Agile methodologies, including Scrum ceremonies and experience with Agile work management tools such as JIRA and Confluence.

Demonstrated knowledge of data science/machine learning concepts and experience working with data scientists in the design and implementation of machine learning applications.

Must be a US citizen.

Must be able to obtain and maintain a Public trust security clearance.